Brain stroke is a complicated disease that is one of the foremost reasons of long-term
debility and mortality. Because of breakthroughs in Deep Learning (DL) and Artificial …

Purpose of review This narrative review summarized the major studies focusing on the
association between revascularization therapies (intravenous thrombolysis and …

This study conducts collateral evaluation from ischemic damage using a deep learning-
based Siamese network, addressing the challenges associated with a small and …

Background: Ischemic stroke poses significant challenges in diagnosis and treatment,
necessitating efficient and accurate methods for assessing collateral circulation, a critical …

Purpose The accurate and timely assessment of the collateral perfusion status is crucial in
the diagnosis and treatment of patients with acute ischemic stroke. Previous works have …

Collateral circulation is an arterial anastomotic channel that supply nutrient perfusion to
areas of the brain. It happens when there is an existence of disruption of regular sources of …

Magnetic Resonance Imaging (MRI) plays a crucial role in diagnosing brain disorders, with
stroke being a significant category among them. Recent studies emphasize the importance …

Ischemic stroke, caused by blocked arteries in the brain, is one of the leading causes of
death and disability worldwide. Endovascular thrombectomy treatment (EVT) is one of the …

The first part of this work focuses on three main challenges that arise from using existing
state-of-the-art deep learning methodologies in the analysis of vascular networks–the …